A side-by-side look at the Inbed and Upfirst MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Inbed for conversational ai work as a local process; choose Upfirst for conversational ai over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Inbed when
You need dedicated capabilities in the Conversational AI domain.
No tool names declared yet. Check the project README from the listing page.
Upfirst tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Inbed is categorized under Conversational AI and uses a local stdio subprocess. Upfirst belongs to Conversational AI and uses a remote HTTP/SSE transport. Pick Inbed for conversational ai work and Upfirst for conversational ai.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Inbed has no declared pricing — check the project's own site. Upfirst has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add inbed and upfirst as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Inbed has a quality signal of 47/100 (Fair) with 0 views, 0 installs and 25 GitHub stars. Upfirst has 50/100 (Good) with 1 views, 0 installs and 0 GitHub stars.